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Beveridge Curve Shifts and Time-Varying Parameter VARs

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Abstract

We specify a simple search and matching model of the aggregate labor market allowing for productivity-driven changes in match efficiency. This mechanism leads to shifts in the Beveridge curve that are broadly consistent with the pattern observed in the United States. We simulate data from the fully nonlinear solution of the model and estimate a time-varying parameter vector-autoregressions (TVP-VAR) on the unemployment and vacancies series to assess whether the shifts in the underlying theoretical model are being picked up by the nonlinear time series model. The results suggest that the TVP-VAR attributes almost all of the shifts to changes in the volatility of the reduced-form shocks.

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  • Thomas A. Lubik & Christian Matthes & Andrew Owens, 2016. "Beveridge Curve Shifts and Time-Varying Parameter VARs," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 197-226.
    • Handle: RePEc:fip:fedreq:00048
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    References listed on IDEAS

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    1. Fabio Canova & Filippo Ferroni & Christian Matthes, 2015. "Approximating Time Varying Structural Models With Time Invariant Structures," Working Paper 15-10, Federal Reserve Bank of Richmond.
    2. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    3. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    4. Thomas A. Lubik & Christian Matthes, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.
    5. Pooyan Amir‐Ahmadi & Christian Matthes & Mu‐Chun Wang, 2016. "Drifts and volatilities under measurement error: Assessing monetary policy shocks over the last century," Quantitative Economics, Econometric Society, vol. 7(2), pages 591-611, July.
    6. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    7. Frauke Schleer-van Gellecom (ed.), 2014. "Advances in Non-linear Economic Modeling," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-642-42039-9, May.
    8. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March.
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